*Here Sample of Code for 10 variables:*
> probs_10 = probs[1:10]
> probs_10
[1] 9.795272e-01 9.331778e-01 6.764349e-01 9.884067e-02 9.522222e-05
3.499417e-03 2.380556e-05 9.826457e-01 9.628633e-01 8.874949e-01
> corr_mat_10 = corr_mat[1:10,1:10]
> corr_mat_10
[,1] [,2] [,3] [,4]
[,5] [,6] [,7] [,8] [,9] [,10]
[1,] 1.0000000000 0.540258943 0.209031764 0.047879233 -6.750092e-02
0.0085672057 7.053822e-04 0.7840635867 0.6694665745 0.40604770
[2,] 0.5402589429 1.000000000 0.386910326 0.088622750 -3.646798e-02
-0.0454879132 1.305637e-03 0.4929722619 0.6613106007 0.61159373
[3,] 0.2090317635 0.386910326 1.000000000 0.229052428 -1.410984e-02
-0.0434598161 -7.054666e-03 0.1909793458 0.2831488805 0.49337866
[4,] 0.0478792330 0.088622750 0.229052428 1.000000000 -3.231892e-03
-0.0101705338 -1.615888e-03 0.0434012259 0.0646190283 0.11766286
[5,] -0.0675009217 -0.036467977 -0.014109837 -0.003231892 1.000000e+00
-0.0005782943 -4.761395e-05 -0.0734320072 -0.0496901947 -0.02740859
[6,] 0.0085672057 -0.045487913 -0.043459816 -0.010170534 -5.782943e-04
1.0000000000 8.233515e-02 0.0078752345 0.0095061395 -0.03886223
[7,] 0.0007053822 0.001305637 -0.007054666 -0.001615888 -4.761395e-05
0.0823351499 1.000000e+00 0.0006484086 0.0009582161 0.00173719
[8,] 0.7840635867 0.492972262 0.190979346 0.043401226 -7.343201e-02
0.0078752345 6.484086e-04 1.0000000000 0.6766830516 0.37325133
[9,] 0.6694665745 0.661310601 0.283148881 0.064619028 -4.969019e-02
0.0095061395 9.582161e-04 0.6766830516 1.0000000000 0.55158959
[10,] 0.4060477004 0.611593731 0.493378657 0.117662862 -2.740859e-02
-0.0388622278 1.737190e-03 0.3732513255 0.5515895878 1.00000000
> library(bindata)
> r <- rmvbin(10,margprob = probs_10, bincorr = corr_mat_10)
Not all probabilities are between 0 and 1.
Error in Element ( 1 , 5 ): Admissible values are in [ 0 ,
9.5222224867284e-05 ].
Error in Element ( 1 , 7 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 3 , 7 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 4 , 7 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 5 , 7 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 6 , 7 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 7 , 3 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 7 , 4 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 7 , 5 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 7 , 6 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 7 , 8 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 7 , 9 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 7 , 10 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 8 , 7 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 9 , 7 ): Admissible values are in [ 0 ,
2.3805556216821e-05 ].
Error in Element ( 9 , 10 ): Admissible values are in [ 0.850358273621063 ,
0.887494941319304 ].
Error in commonprob2sigma(commonprob, simulvals) :
Matrix commonprob not admissible.
*Then I tried to fix wrong values to be within range with the following:*
> corr_mat_10[1,5]=runif(1,min=0,max=9.5222224867284e-05)
> corr_mat_10[1,5]
[1] 7.915036e-05
> corr_mat_10[5,1]=7.915036e-05
*and did the same for all elements but the same error raised:*
> r <- rmvbin(10,margprob = probs_10, bincorr = corr_mat_10)
Error in Element ( 9 , 10 ): Admissible values are in [ 0.850358273621063 ,
0.887494941319304 ].
Error in commonprob2sigma(commonprob, simulvals) :
Matrix commonprob not admissible.
*Finally I check the value of (9,10) it is within range but the same error
raised :*
> corr_mat_10[9,10]
[1] 0.8793437
I don't know How to fix it?
On Mon, 11 Feb 2019 at 12:23, Eric Berger <ericjber...@gmail.com> wrote:
> Hi Eman,
> It helps if you create a small example that reproduces the problem and
> then post the code with your question.
> This will help people determine what is causing the problem.
>
> Best,
> Eric
>
>
> On Mon, Feb 11, 2019 at 11:52 AM إيمان إسماعيل محمد <
> emanismail...@gmail.com> wrote:
>
>> I need to simulate data for 2000 binary variables given a vector of
>> marginal probabilities and a correlation matrix. I used bindata library,
>> but it give me
>>
>> Not all probabilities are between 0 and 1.
>> Error in Element ( i , j ): Admissible values are in [.....].
>> Error in commonprob2sigma(commonprob, simulvals) :
>> Matrix commonprob not admissible.
>>
>> and I tried to get the elements within range but still have the same
>> problem
>>
>> How can I fix the correlation matrix or how to track error ??
>>
>> Thanks
>> Eman
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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